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Updated: Apr 13, 2026

Functional Imaging with Reinforcement, Eyetracking, and Physiological Monitoring
Published on: November 13, 2008
The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository
Frini Karayanidis1, Max C Keuken2, Aaron Wong1
1Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Translational Neuroscience and Mental Health, University of Newcastle, Australia; Hunter Medical Research Institute, University of Newcastle, Australia.
The Age-ility Project provides open access to multi-modal brain imaging and EEG data from 131 healthy young adults. This dataset supports research into brain network organization and development.
Area of Science:
- Neuroscience
- Brain Imaging
- Systems Neuroscience
Background:
- Understanding brain network organization requires integrating structural and functional data.
- Novel multi-modal analysis approaches are crucial for advancing this field.
Purpose of the Study:
- To provide open access to a comprehensive dataset for studying brain network interplay.
- To facilitate research on the structural and functional organization of the brain across development.
Main Methods:
- Acquisition of structural MRI, diffusion MRI, and resting-state fMRI.
- Recording of resting-state electroencephalography (EEG).
- Rigorous quality control and artifact review of all data.
Main Results:
- The Age-ility Project dataset (Phase 1) is now publicly available.
- Data includes neuroimaging and electrophysiological recordings from 131 participants (15-35 years).
- Demographic information and detailed quality control notes are provided.
Conclusions:
- The open-access Age-ility dataset enables advanced multi-modal analyses of brain networks.
- This resource supports investigations into the relationship between brain structure and function in young adults.
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